Gabriela Czibula (Șerban)
Universitatea Babes-Bolyai
H-index: 21
Europe-Romania
Top articles of Gabriela Czibula (Șerban)
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A study on the relevance of semantic features extracted using BERT-based language models for enhancing the performance of software defect classifiers | Procedia Computer Science | Anamaria Briciu Gabriela Czibula Mihaiela Lupea | 2023/1/1 |
An unsupervised learning-based methodology for uncovering behavioural patterns for specific types of software defects | Procedia Computer Science | Gabriela Czibula Ioana-Gabriela Chelaru Istvan Gergely Czibula Arthur-Jozsef Molnar | 2023/1/1 |
Im2Vide0: A Zero-Shot approach using diffusion models for natural language conditioned Image-to-Video | Paul-Dumitru Orăşan Gabriela Czibula | 2023/10/26 | |
Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors | George Ciubotariu Gabriela Czibula Istvan Gergely Czibula Ioana-Gabriela Chelaru | 2023 | |
MM-StackEns: A new deep multimodal stacked generalization approach for protein–protein interaction prediction | Computers in Biology and Medicine | Alexandra-Ioana Albu Maria-Iuliana Bocicor Gabriela Czibula | 2023/2/1 |
Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data | Atmosphere | Eugen Mihuleţ Sorin Burcea Andrei Mihai Gabriela Czibula | 2023/1/14 |
ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery | Procedia Computer Science | Adelin Mihoc Vlad-Sebastian Ionescu Ioan-Gabriel Mircea Gabriela Czibula Eugen Mihulet | 2023/1/1 |
IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining | IEEE Access | Gabriela Czibula George Ciubotariu Mariana-Ioana Maier Hannelore Lisei | 2022/8/1 |
Enhancing the Performance of Software Authorship Attribution Using an Ensemble of Deep Autoencoders | Mathematics | Gabriela Czibula Mihaiela Lupea Anamaria Briciu | 2022/7/24 |
An in-depth analysis of the software features’ impact on the performance of deep learning-based software defect predictors | IEEE Access | Diana-Lucia Miholca Vlad-Ioan Tomescu Gabriela Czibula | 2022/6/10 |
SoftId: An autoencoder-based one-class classification model for software authorship identification | Procedia Computer Science | Mihaiela Lupea Anamaria Briciu Istvan Gergely Czibula Gabriela Czibula | 2022/1/1 |
MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks | IEEE Access | George Ciubotariu Gabriela Czibula | 2022/11/30 |
IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach | Expert Systems with Applications | Sergiu Cosmin Nistor Gabriela Czibula | 2022/1/1 |
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes | Remote Sensing | Alexandra-Ioana Albu Gabriela Czibula Andrei Mihai Istvan Gergely Czibula Sorin Burcea | 2022/8/11 |
A study on using deep autoencoders for imbalanced binary classification | Procedia Computer Science | Vlad-Ioan Tomescu Gabriela Czibula Ştefan Niţică | 2021/1/1 |
AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction | Entropy | Gabriela Czibula Alexandra-Ioana Albu Maria Iuliana Bocicor Camelia Chira | 2021/5/21 |
Towards using unsupervised learning for comparing traditional and synchronous online learning in assessing students’ academic performance | Mathematics | Mariana-Ioana Maier Gabriela Czibula Zsuzsanna-Edit Oneţ-Marian | 2021/11/11 |
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders | Expert Systems with Applications | Gabriela Czibula Carmina Codre Mihai Teletin | 2021/3/15 |
A machine learning approach for data protection in virtual reality therapy applications | Maria-Mădălina Mircea Rareş Boian Gabriela Czibula | 2021/10/28 | |
Research Article DAuGAN: An Approach for Augmenting Time Series Imbalanced Datasets via Latent Space Sampling Using Adversarial Techniques | Andrei Bratu Gabriela Czibula | 2021 |
